What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Neuron
Henry Markram focuses on Neuroscience, Neocortex, Neuron, Anatomy and Inhibitory postsynaptic potential.
Henry Markram interconnects Synaptic plasticity, Autism and Neurotransmission in the investigation of issues within Neuroscience.
Henry Markram has researched Neocortex in several fields, including Connection and Winner-take-all.
Henry Markram combines subjects such as Biophysics, Carbon nanotube and Cluster analysis with his study of Neuron.
His Anatomy study combines topics from a wide range of disciplines, such as Synaptic fatigue, Excitatory postsynaptic potential, Somatosensory system, Postsynaptic potential and Membrane potential.
His study in the fields of Interneuron and Inhibitory synapses under the domain of Inhibitory postsynaptic potential overlaps with other disciplines such as Direct excitation.
His most cited work include:
- Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs (3071 citations)
- Real-time computing without stable states: a new framework for neural computation based on perturbations (2367 citations)
- Interneurons of the neocortical inhibitory system. (2234 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Neocortex, Neuron, Somatosensory system and Artificial intelligence.
His Neuroscience research incorporates themes from Synaptic plasticity and Neurotransmission.
In his research, Biophysics is intimately related to Electrophysiology, which falls under the overarching field of Neocortex.
His research on Neuron frequently connects to adjacent areas such as Synapse formation.
His Somatosensory system study frequently draws connections between adjacent fields such as Cerebral cortex.
His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
He most often published in these fields:
- Neuroscience (58.21%)
- Neocortex (27.24%)
- Neuron (15.30%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (58.21%)
- Neocortex (27.24%)
- Somatosensory system (11.57%)
In recent papers he was focusing on the following fields of study:
Henry Markram mainly investigates Neuroscience, Neocortex, Somatosensory system, Neuron and Connectome.
His study on Neuron types and Sensory system is often connected to Digital reconstruction, Wakefulness and Identification as part of broader study in Neuroscience.
His Neocortex research includes themes of Pyramidal cell, Neurotransmission and Neurotransmitter.
His work deals with themes such as Structural plasticity and Geometry, which intersect with Somatosensory system.
His work carried out in the field of Neuron brings together such families of science as Neuronal circuits, Electrophysiology and Algorithm.
His research investigates the connection between Connectome and topics such as Null model that intersect with problems in Artificial neural network, Statistical model, Axon and Brain region.
Between 2017 and 2021, his most popular works were:
- Cell Densities in the Mouse Brain: A Systematic Review. (88 citations)
- A Cell Atlas for the Mouse Brain (82 citations)
- A Topological Representation of Branching Neuronal Morphologies (58 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Neuron
His scientific interests lie mostly in Neuroscience, Neocortex, Neuron, Topological data analysis and Ion channel.
His research integrates issues of Cell density and Network dynamics in his study of Neuroscience.
His Neocortex study integrates concerns from other disciplines, such as Muscarinic acetylcholine receptor, Neurotransmission, Basal forebrain, Neuromodulation and Cholinergic neuron.
His Neuron research is multidisciplinary, incorporating perspectives in Brain atlas, Atlas, Inhibitory postsynaptic potential and Cell type.
His studies in Ion channel integrate themes in fields like Biophysics, Electrophysiology and Voltage-gated potassium channel.
His Electrophysiology study combines topics in areas such as Function, Hippocampus, Hippocampal formation and Degeneracy.
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